To enable highly reusable and scalable data-centric service that meets BHPs data architecture strategy
Classify the data lifecycle including data models and data sources for analytics platforms
Data mining and information retrieval to design, generate, optimize and maintain data architecture and pipelines that adhere to ETL principles and business goals
Maintain control and improve the quality of data given from all data sources
Design and implement integration pipelines and integration flows for the transfer of data from the source system to the designated target system
Accountable for designing and modeling data in alignment with broader asset use cases and self-serve needs of the digital factory